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Ability to migrate the Data Science models written on native python language to the multi node Databricks compute. Enable streaming data use-cases and standard design patterns in a big data environment.
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Expanding, scaling, and standardizing the core foundational principles through consistent observability, lineage, data quality, logging, and alerting across all engineering teams in the Data organization is imperative to the creation of a single pane of glass.
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Knowledge in data/computer science pedagogy is a plus. Candidates should demonstrate expert knowledge in one or more of the following areas: data management, machine learning, deep learning, artificial intelligence, data visualization, programming Python, programming in R, databases, and related topics, either through a record of teaching excellence or through industrial experience.
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Big data expertise in Apache Spark ETL, Snowflake. Experience with Big data (Demonstrates knowledge of Py-Spark, Data Bricks. Experience with data visualization tools such as Tableau, Qlikview, Quicksight, etc.
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Major or minor of studies in a field of Quantitative Finance, Financial Engineering, or a related technical field that blends advanced quantitative methods with finance and economics is a plus.
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Technology polymath: Experience with a wide range of technology and can learn and develop any solutions across the full data science lifecycle and application stack. Cerberus Technology Solutions (CTS) is a subsidiary of CCM focused exclusively on leveraging emerging technology, data, and advanced analytics to drive transformations.
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Requirements: Requires a Master’s in Statistics, Computer Science, Data Science, Machine Learning, Applied Math, Operations Research, Economics, or a related field plus two (2) years of experience as a Data Scientist, Data Engineer, or other occupation/position/job title involving research and data analysis.
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To support its growth, Sia Partners is recruiting a Data Science Manager with strong expertise in marketing, client, and product challenges. Application of Data Science in Marketing: Apply data science techniques to complex marketing problems including customer segmentation, predictive modeling, pricing strategy, customer experience enhancement, and more.
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Act as a subject matter expert in marketing measurement science, specifically MMM + MTA unified-model measurement and media KPIs. Proficiency in data visualization tools: R, Python, Tableau, or similar.
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Key Qualifications:A Bachelor's degree in Statistics, Data/Computer Science, Mathematics, or a related field with a minimum 3.2 GPA (knowledge in RE is a plus.
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I worked extensively on POCs, Consulting Solutions, ETL Framework/ Architecture, Big Data technologies, Talend Master Data management, Performance optimization, ETL techniques, pilot projects, SQL Views etc.
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Hands-on experience with data visualization tools (Tableau, Power BI) and statistical analysis tools (R, Python). Collaborate with the CIO and Director of Technology to craft and execute a comprehensive data vision aligned with organizational goals.
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Must hold a bachelor’s degree from an accredited 4-year university or college with a discipline in Engineering (Mechanical, Electrical, Industrial, Data Science, Computer Science, Computer Engineer or similar.
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As a Full Stack Python Developer, you will be responsible for designing, developing, and maintaining both front-end and back-end components of our web applications. Seeking a talented and experienced Full Stack Python Developer to join our dynamic team.
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Proficiency in data analysis tools (, Python, R, or similar) Excellent analytical and problem-solving skills Comprehensive knowledge of at least one substantive area of compliance, such as banking regulations, anti-money laundering, or anti-corruption Added bonus if you have:Effectively communicates with all levels of technical and non-technical personnel.
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big data science a plus python jobs Company: Endeavor in Newark, NJ
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